| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10336955 | Computers & Graphics | 2011 | 15 Pages |
Abstract
⺠Robust and efficient vision based tracking and mapping using a Kalman filter framework. ⺠Rapid and reliable vision based relocalisation of users within local maps. ⺠User interaction mechanisms for effective annotation insertion. ⺠Framework for managing and fusing mapping and positioning data.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Graphics and Computer-Aided Design
Authors
Andrew P. Gee, Matthew Webb, Jorge Escamilla-Ambrosio, Walterio Mayol-Cuevas, Andrew Calway,